1 citations · 1 across the 4 of their papers we have counts for
4 papers
What Should I Know? Using Meta-gradient Descent for Predictive Feature Discovery in a Single Stream of Experience
Alexandra Kearney, Anna Koop, Johannes Günther +1
In computational reinforcement learning, a growing body of work seeks to construct an agent's perception of the world through predictions of future sensations; predictions about en…
Should Models Be Accurate?
Esra'a Saleh, John D. Martin, Anna Koop +2
Model-based Reinforcement Learning (MBRL) holds promise for data-efficiency by planning with model-generated experience in addition to learning with experience from the environment…
Finding Useful Predictions by Meta-gradient Descent to Improve Decision-making
Alex Kearney, Anna Koop, Johannes Günther +1
In computational reinforcement learning, a growing body of work seeks to express an agent's model of the world through predictions about future sensations. In this manuscript we fo…
What's a Good Prediction? Challenges in evaluating an agent's knowledge
Alex Kearney, Anna Koop, Patrick M. Pilarski
Constructing general knowledge by learning task-independent models of the world can help agents solve challenging problems. However, both constructing and evaluating such models re…